Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
12-2016
Abstract
In a large indoor environment such as a sports arena or convention center, smooth egress of crowd after an event can be seriously affected if infrastructure such as elevators and escalators break down. In this paper, we propose a novel crowd simulator known as SIM-DISRUPT for simulating egress scenarios in non-emergency situations. To surface the impact of disrupted infrastructure on the egress of crowd, SIM-DISRUPT includes features that allow users to specify selective disruptions as well as strategies for controlling the distribution and egress choices of crowd. Using SIM-DISRUPT, we investigate effects of crowd distribution, egress choices and infrastructure disruptions on crowd egress time and measure efficacies of different egress strategies under various infrastructure disruption scenarios. A real-world inspired use case is used to demonstrate the usefulness of SIM-DISRUPT in planning egress under various operational conditions.
Keywords
Convention center, Egress time, Emergency situation, Indoor environment, Investigate effects, Operational conditions
Discipline
Artificial Intelligence and Robotics | Computer Sciences | Operations Research, Systems Engineering and Industrial Engineering
Research Areas
Intelligent Systems and Optimization
Publication
WSC 2016: Proceedings of the Winter Simulation Conference, Washington DC, December 11-14
First Page
1316
Last Page
1327
ISBN
9781509044863
Identifier
10.1109/WSC.2016.7822186
Publisher
IEEE
City or Country
Piscataway, NJ
Citation
TENG, Teck Hou; CHENG, Shih-Fen; TRUONG, Trong-Nghia; and LAU, Hoong Chuin.
Managing egress of crowd during infrastructure disruption. (2016). WSC 2016: Proceedings of the Winter Simulation Conference, Washington DC, December 11-14. 1316-1327.
Available at: https://ink.library.smu.edu.sg/sis_research/3336
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/WSC.2016.7822186
Included in
Artificial Intelligence and Robotics Commons, Operations Research, Systems Engineering and Industrial Engineering Commons